Developing Team Design Patterns for Hybrid Intelligence Systems

Developing Team Design Patterns for Hybrid Intelligence Systems

van Zoelen, E.M. (TU Delft BUS/TNO STAFF; TU Delft Interactive Intelligence)
Mioch, T. (TU Delft Interactive Intelligence; Hogeschool Utrecht)
Tajaddini, M. (TU Delft Interactive Intelligence)
Fleiner, Christian (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Tsaneva, Stefani (WU Wien; Technische Universität Wien)
Camin, Pietro (University of Twente)
Gouvêa, Thiago S. (DFKI GmbH)
Baraka, Kim (Vrije Universiteit Amsterdam)
De Boer, Maaike H.T. (DIANA FEA)
Neerincx, M.A. (TU Delft BUS/TNO STAFF; TU Delft Interactive Intelligence)

Lukowicz, Paul (editor)
Mayer, Sven (editor)
Koch, Janin (editor)
Shawe-Taylor, John (editor)
Tiddi, Ilaria (editor)

2023

With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.

Co-evolution
Human-centered AI
Hybrid Intelligence
Interdependence
Team Design Patterns
Use-case based research

http://resolver.tudelft.nl/uuid:7ef851ca-a348-439c-abc7-9d3ae5062afe

https://doi.org/10.3233/FAIA230071

IOS Press

9781643683942

HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence

2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2023, 2023-06-26 → 2023-06-30, Munich, Germany

Frontiers in Artificial Intelligence and Applications, 0922-6389, 368

Institutional Repository

conference paper

© 2023 E.M. van Zoelen, T. Mioch, M. Tajaddini, Christian Fleiner, Stefani Tsaneva, Pietro Camin, Thiago S. Gouvêa, Kim Baraka, Maaike H.T. De Boer, M.A. Neerincx